AI is revolutionizing the field of cybersecurity by automating the labor-intensive process of data onboarding, which traditionally involves normalizing and enriching diverse data formats for integration into security platforms. This advancement is exemplified by Elastic Security's use of large language models (LLMs) to streamline data ingestion, significantly reducing the time and effort required to prepare data for threat detection and analysis. Security professionals can now rely on AI to handle the complexities of data parsing, allowing them to focus on core activities such as intrusion detection and incident response. However, challenges remain due to the diverse and complex nature of data environments, which AI cannot entirely simplify. Elastic emphasizes the importance of continuous data onboarding as organizations evolve, highlighting their Automatic Import feature as a modern solution to this ongoing challenge. While AI tools are transforming security workflows, users are advised to be cautious with sensitive data and familiarize themselves with the terms of any third-party AI tools employed.